Discover the key to unlocking a more efficient supply chain with our upcoming webinar, Easily Identify Sources of Supply Chain Gridlock. As supply chain professionals, you understand that swift and effective resolution of bottlenecks is crucial for maintaining a competitive edge in today's fast-paced business landscape.

Join Nick Johnson, Product Marketing Manager for Graph Data Science, as he demonstrates how graph-based approaches enable supply chain managers to quickly pinpoint areas of congestion and find the fastest, most direct route to minimize delays in your supply chain.

In this 20-minute webinar, you'll learn:

  • What graph data science is and its applications in supply chain management
  • How supply chain professionals traditionally identify sources of gridlock and inefficiencies
  • Why graph data science is better at solving your most pressing supply chain challenges
  • How to visually map and identify bottlenecks and areas for improvement using Neo4j Graph Data Science in your supply chain operations

Nick Johnson
Product Marketing Manager, Graph Data Science

Nick Johnson is a Product Marketing Manager for Graph Data Science at Neo4j, where he works to bring Graph Data Science to life with highly targeted messaging, positioning, case studies, content, and more. Prior to Neo4j, Nick worked in Product Marketing across several organizations including Microsoft, SAS, and Orbit. Nick holds a Master’s degree in International Development from Sciences Po and Bachelor degrees in International Studies and Swedish from the University of Washington. 

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